Course Overview

Data storytelling is predicted to be the top business skill of the next 5 years.1 And with good reason – well told data stories are change drivers within the modern organization. But how do we find the most important insights in our business data and communicate them in a compelling way? How do we connect the data that we have to the key underlying business issue?

This course takes students from the fundamentals (what should we be measuring and why?) through to the elements of good visualization design (what does a good chart look like?) through to proficiency in data storytelling. By the end of the course, students will know how to produce engaging, cohesive and memorable data stories using Excel and PowerPoint. The course also teaches attendees the importance of producing statistically robust visualizations and insights.

Suitable For

This is our most popular course. It’s suited towards any professional, who works with data and charts. If you need to tell better stories with your data, then this course is for you.

Prerequisites

None.

Course Objectives

Provide participants with visualization best practices for the most common charts used in business

Provide participants with industry best practices for the production of insights

Provide participants with guidelines on best practices for linking charts together into a cohesive story that concludes with actionable recommendations

Provide participants with applied examples regarding trend analysis

Provide participants with a grounding in sampling, confounding variables and the statistical aspects behind data storytelling

Upon successful completion of this course, participants will be able to:

Create complete data stories and know how to present these stories in an engaging way to upper management

Generate statistically robust data driven insights that inform decision making in the business setting

Detect, illustrate and highlight trends, outliers and patterns in business data

Build stakeholder support for project initiatives using data

Know how to select the appropriate chart types for a given dataset (e.g. When to use a bar chart versus a pie chart or a line graph versus a bubble chart)

Know how to design aesthetically pleasing data visualizations that adhere to the principals of good design

Understand how to use a ‘data dictionary’ and metadata to facilitate data analysis

Instructors

Isaac is currently the Head of Data Science at Altis Consulting, Australia’s largest and most experienced Information Management consulting firm. A passionate data science educator, Isaac has lectured in analytics and statistical theory at the Australian National University, AIM and the University of Canberra. Learn more >>

A data storytelling expert, Jay is concurrently a trainer at DataSeer and Head of Operations at Magpie.IM, an online payments startup. In his prior role, Jay was the Head of the Manila Shared Services Center for Kforce (Nasdaq: KFRC) and a Business Development Director at analytics company, Sencor. Jay holds an MBA and B.S. in Mathematics from Ateneo de Manila University. He was a winner of the 2017 Grab Data Visualization challenge.

Jay Manahan

“Took Data Storytelling, and it was insightful from start to finish. Combine a celebrated instructor, well-thought out material, an energetic and responsive organising team and awesome co-trainees from different backgrounds and you’ve got a great package. There is so much to learn in this wide field, and they simply nailed it. They made it such that even a guy like me who is not an analytics practitioner could grasp fully. This certification was worth the time, money, and effort. I wish nothing but the best for the minds behind this training course. Thank you DataSeer!”